scholarly journals Chipping machines: disc and drum energy requirements

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Alessio Facello ◽  
Eugenio Cavallo ◽  
Raffaele Spinelli
Keyword(s):  
Air Pollution ◽  
Fuel Consumption ◽  
Specific Energy ◽  
Processing Time ◽  
Fossil Fuel ◽  
Energy Requirements ◽  
Power Demand ◽  
Production Chain ◽  
Testing Conditions ◽  
Processed Material

Air pollution and fossil fuel reserves exhaustion are increasing the importance of the biomass-derived products, in particular wood, as source of clean and renewable energy for the production of electricity or steam. In order to improve the global efficiency and the entire production chain, we have to evaluate the energetic aspects linked to the process of transformation, handling and transport of these materials. This paper reports results on a comparison between two chippers of similar size using different cutting technology: disc and drum tool respectively. During trials, fuel consumption, PTO torque and speed, processing time and weight of processed material were recorded. Power demand, fuel consumption, specific energy and productivity were computed. The machine was fed with four different feedstock types (chestnut logs, poplar logs, poplar branches, poplar sawmill residues). 15 repetitions for each combination of feedstock-tool were carried out. The results of this study show that the disc tool requires, depending on the processed material, from 12 to 18% less fuel per unit of material processed than the drum tool, and consequently, from 12 to 16% less specific energy. In particular, the highest difference between tools was found in branches processing whereas the smallest was in poplar logs. Furthermore the results of the investigation indicate, that, in testing conditions, the productivity of drum tool is higher (8%) than disc tool.

scholarly journals Empirical Models for Power and Energy Requirements II : A Powered Implement Operation in Serdang Sandy Clay Loam, Malaysia

2017 ◽  
Vol 20 (3&4) ◽  
pp. 349-360
Author(s):  
A. F. Kheiralla ◽  
A. Yahya ◽  
M. Zohadie ◽  
W. Ishak
Keyword(s):  
Regression Analysis ◽  
Fuel Consumption ◽  
Specific Energy ◽  
Travel Speed ◽  
Energy Requirements ◽  
Clay Loam ◽  
Sandy Clay Loam ◽  
Sandy Clay ◽  
Consumption Rates ◽  
Power And Energy

Power and energy requirements were measured with an instrumented tractor for rotary tilling in Serdang sandy clay loam soil.  The effects of travel speed and rotor speed upon the measured data were investigated.  Power model from orthogonal regression analysis was formulated based on linear and quadratic functions of travel speed and bite length.  Fuel consumption model from regression analysis was formulated based on linear tractor PTO power as well as linear equivalent tractor PTO power.  Fuel consumption rates predicted by ASAE D497.3 were found to be 25% to 28% overestimates of the values predicted by the model developed.  However, fuel consumption rates reported by OECD Tractor Test were found to be 1% to 9% lower than the fuel consumption rates predicted by the model developed.  A comparison of power and energy requirements for both powered and draught implements showed that the disk harrow was the most energy efficient implement in terms of fuel consumption and specific energy followed by the rotary tiller, disk plough and mouldboard.  Finally, average PTO power, fuel consumption, wheel slip, wheel power and specific energy for a powered implement are presented.

Monthly, global emissions of carbon dioxide from fossil fuel consumption

Tellus B ◽  
2011 ◽  
Vol 63 (3) ◽  
Author(s):  
R. J. Andres ◽  
J. S. Gregg ◽  
L. Losey ◽  
G. Marland ◽  
T. A. Boden
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Fossil Fuel Consumption ◽  
Global Emissions

scholarly journals Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7011
Author(s):  
Abdulaziz A. Alotaibi ◽  
Naif Alajlan
Keyword(s):  
Carbon Dioxide ◽  
Quantile Regression ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuel ◽  
Trade Openness ◽  
Policy Coordination ◽  
Socioeconomic Indicators ◽  
Control Variables ◽  
Fossil Fuel Consumption

Numerous studies addressed the impacts of social development and economic growth on the environment. This paper presents a study about the inclusive impact of social and economic factors on the environment by analyzing the association between carbon dioxide (CO2) emissions and two socioeconomic indicators, namely, Human Development Index (HDI) and Legatum Prosperity Index (LPI), under the Environmental Kuznets Curve (EKC) framework. To this end, we developed a two-stage methodology. At first, a multivariate model was constructed that accurately explains CO2 emissions by selecting the appropriate set of control variables based on model quality statistics. The control variables include GDP per capita, urbanization, fossil fuel consumption, and trade openness. Then, quantile regression was used to empirically analyze the inclusive relationship between CO2 emissions and the socioeconomic indicators, which revealed many interesting results. First, decreasing CO2 emissions was coupled with inclusive socioeconomic development. Both LPI and HDI had a negative marginal relationship with CO2 emissions at quantiles from 0.2 to 1. Second, the EKC hypothesis was valid for G20 countries during the study period with an inflection point around quantile 0.15. Third, the fossil fuel consumption had a significant positive relation with CO2 emissions, whereas urbanization and trade openness had a negative relation during the study period. Finally, this study empirically indicates that effective policies and policy coordination on broad social, living, and economic dimensions can lead to reductions in CO2 emissions while preserving inclusive growth.

scholarly journals Cleaning up the air: Effectiveness of air quality policy for SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions in China

2016 ◽  
Author(s):  
Ronald J. van der A ◽  
Bas Mijling ◽  
Jieying Ding ◽  
Maria Elissavet Koukouli ◽  
Fei Liu ◽  
...  
Keyword(s):  
Air Quality ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Transport Sector ◽  
Nox Emissions ◽  
So2 Emissions ◽  
Provincial Level ◽  
Fossil Fuel Consumption ◽  
Public Data ◽  
Quality Policy

Abstract. Air quality observations by satellite instruments are spatially consistent, and have a regular temporal resolution, which make them very useful in studying long-term trends in atmospheric species. To monitor air quality trends in China for the period 2005–2015 we derive SO2 columns and NOx emissions on a provincial level with an unprecedented accuracy. To put these trends into perspective they are compared with public data on energy consumption and the environmental policies of China. We distinguish the effect of air quality regulations from economic growth by comparing them relatively to fossil fuel consumption. Pollutant levels, per unit of fossil fuel, are used to assess the effectiveness of air quality regulations. We note that the desulphurisation regulations enforced in 2005–2006 only had a significant effect in the years 2008–2009 when a much stricter control of the actual use of the installations began. For national NOx emissions a distinct decreasing trend is only visible since 2012, but the emission peak year differs from province to province. Unlike SO2, emissions of NOx are highly related to traffic. Furthermore, regulations for NOx emissions are partly decided on a provincial level. The last three years show both a reduction in SO2 and NOx emissions per fossil fuel unit, since the authorities have implemented several new environmental regulations. Despite an increasing fossil fuel consumption and a growing transport sector, the effects of air quality policy in China are clearly visible. Without the air quality regulations the concentration of SO2 would be almost 3 times higher and the NO2 concentrations would be at least 30 % higher than they are today in China.

scholarly journals Carbon emissions from fossil fuel consumption of Beijing in 2012

2016 ◽  
Vol 11 (11) ◽  
pp. 114028 ◽  
Author(s):  
Ling Shao ◽  
Dabo Guan ◽  
Ning Zhang ◽  
Yuli Shan ◽  
G Q Chen
Keyword(s):  
Fuel Consumption ◽  
Carbon Emissions ◽  
Fossil Fuel ◽  
Fossil Fuel Consumption

Quitting (The) Habit: Fossil Fuels, Governmentality and the Politics of Energy Dependency

2021 ◽  
Vol 103 (103) ◽  
pp. 63-77
Author(s):  
Imre Szeman
Keyword(s):  
Specific Energy ◽  
Fossil Fuels ◽  
Energy Use ◽  
Fossil Fuel ◽  
Daily Life ◽  
Practice Theory ◽  
State Power ◽  
System Change ◽  
Analytic Tool ◽  
Energy Dependency

This paper investigates habit in relation to fossil-fuel dependency. Habit names sets of actions and practices that are deeply codified into daily life, including practices connected to the use of large amounts of energy. Developing an understanding of energy habits appears to constitute a possible site of intervention into the ongoing use of fossil fuels. I argue that by tending to focus on individual energy practices, habit makes it difficult to raise larger, systemic questions related to energy use. Indeed, more critical explorations of habit, such as practice theory or via Bourdieu's notion of habitus, emphasise the need to attend to system more than specific energy habits. Investigating habit in relation to energy does, however, reveal some of the current limits and problems involved in changing fossil-fuel dependency on the part of many states. The paper turns to an investigation of the operations of governmentality in relation to energy to show the multiple ways in which the contemporary configuration of state power makes it unable to fully attend to fossil-fuel dependency. Making small changes to energy use via changes to energy habit never results in the system change required. While habit can thus be a useful analytic tool in understanding state power in relation to energy use, the paper argues that it is not a mechanism through which one might fundamentally change current configurations of energy dependency.

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